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Level A - $83,468 - $113,262 p.a. plus 17% super Conduct independent research / Collaborate with leading academics / Publish in prestigious journals Apply now to drive innovation in machine learning and
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Join our multidisciplinary research team to develop and apply machine learning and bioinformatic algorithms in biomedical research. This PhD project will focus on developing machine learning
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Help shape the future of cancer care through better data. This PhD scholarship offers the opportunity to work with a leading research team using clinical trials and real-world data to build machine
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student research. As an active researcher, you'll lead and contribute to projects in AI and machine learning, especially their applications in engineering, collaborate with industry, secure research funding
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the integration of cutting-edge technologies, including imaging and video analysis, sensor technology, IoT devices, biochemical sensors, and machine learning. The project’s primary goal is to develop sustainable
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, optimization, or multi-agent interactions. Machine learning: reinforcement learning, or multi-agent systems. Signal processing: spectrum sensing, localization, or radio environment modelling. Optimization and
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, optimization, or multi-agent interactions. Machine learning: reinforcement learning, or multi-agent systems. Signal processing: spectrum sensing, localization, or radio environment modelling. Optimization and
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-preserving trustworthy distributed machine learning. In this research, the successful candidates will focus on mathematical backgrounds involved in differential privacy to devise novel scalable approaches
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mechanical loading of such samples. The focus of the PhD project will be to use machine learning techniques to better understand the interplay between the crystal orientations and deformation patterns in a
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This project aims to develop robust algorithms capable of identifying and analyzing fingertips extracted from both static images and video footage. Machine learning techniques, particularly computer